In March 2025, YouTube launched variable notifications as a test to reduce overwhelm, which can often lead people to switch off push notifications entirely.
The results proved what a lot of us already knew to be true. YouTube is now expanding its test, which reduces the number of push notifications sent to subscribers who don’t regularly engage with a channel’s content, to all subscribers.
According to recent data, 60% of users disable push notifications mostly because they are bombarded with too frequent or irrelevant messages.
Despite being a critical component of mobile app engagement, most modern notification architectures don’t deliver on their promise.
This shift has forced growth teams to reconsider how push fits into the customer journey. Volume once defined success. Increasingly, relevance and timing determine whether the channel remains viable.
From Campaign Messaging to Behaviour Signals
Did you know that push notification technology was first introduced by Apple Inc. back in June 2009, alongside its iOS 3.0 version? It’s been a long learning journey since then for mobile marketers.
Today, push is moving away from campaign-led messaging towards behaviour-led communication. Notifications increasingly reflect what users are already trying to do rather than what marketers want to promote.
The change is most visible in sales-driven markets where ecommerce and on-demand apps compete for the same attention. During major promotional events, users often receive multiple alerts within short periods. Under those conditions, additional campaigns rarely improve engagement. Instead, poorly timed notifications accelerate fatigue and increase opt-outs.
Several major platforms have begun linking notifications more closely to user behaviour.
Shopee provides a clear example. Notifications frequently follow recent activity inside the app. Users who browse categories or save items often receive price-drop alerts, restock updates, or time-limited vouchers for those products. The messages extend browsing sessions rather than interrupting them.
Shopee has expanded its use of behavioural data across the customer journey, including AI-driven shopping tools designed to anticipate intent. Notification timing and content are increasingly shaped by predictive signals rather than fixed campaign schedules.
Amazon has taken a similar intent-driven approach. Notifications often reflect recent searches, purchase activity or delivery updates rather than broad promotional campaigns. Customers may receive alerts about price changes on previously viewed products or updates linked to active orders.
By tying notifications directly to shopping activity, Amazon reduces unnecessary interruptions and keeps messaging closely aligned with user intent.
Timing Has Become as Important as Content
Food delivery platforms have adopted a similar approach by aligning notifications with predictable usage windows.
Grab’s notifications often appear around lunch and dinner hours, when demand naturally increases. Promotions and reminders arrive when ordering is most likely, rather than being distributed evenly throughout the day. As ordering patterns stabilise, notifications often become less frequent but more closely tied to established routines.
Recent updates across Grab’s ecosystem have focused on integrating mobility, delivery and financial services more closely. Messaging increasingly reflects a broader view of user activity across the platform.
Travel Takes a Decision-driven approach
Traveloka focuses notifications on active planning behaviour. Users who search for routes or accommodations may receive price alerts or availability updates linked directly to those searches. Messages unrelated to recent activity appear less frequently, creating a notification stream that reflects ongoing planning rather than general promotion.
As Traveloka expands its financial and travel-related services, behavioural signals across bookings and payments are becoming more central to how notifications are triggered.
Entertainment and Habit-based Messaging
Beyond ecommerce and on-demand services, subscription platforms have increasingly structured notifications around established user habits.
Spotify’s notifications often reflect listening behaviour rather than promotional activity. Users may receive alerts about new releases from followed artists, or reminders for playlists and podcasts they have already engaged with.
By aligning notifications with existing routines, Spotify maintains visibility without increasing perceived interruption.
Across categories, behaviour-led messaging increasingly follows a similar logic:
- Notifications reflect recent activity rather than marketing schedules
- Messages appear during moments of likely demand.
- Frequency is adjusted based on user response.
- Promotions are tied to clear signals of intent.
Restraint is Becoming a Growth Strategy
Across categories, behaviour-led messaging has been accompanied by greater restraint. Many apps now apply limits on how frequently users receive notifications, even during major sale periods.
Instead of sending every available promotion, growth teams increasingly prioritise messages that correspond to clear signals of intent.
Common practices now include:
- Frequency caps to prevent notification fatigue
- Quiet hours that reduce late-night interruptions
- Behaviour-triggered alerts instead of fixed schedules
- Reduced messaging for users who ignore notifications
- Gradual increases in frequency for engaged users
These controls help protect opt-in rates while still supporting engagement.
The First Week Sets the Pattern
Early sessions after installation have become an important testing ground for the notification strategy. Apps increasingly adjust frequency and content based on how new users respond during the first days of use.
Users who engage with early notifications may receive more targeted follow-ups. Those who ignore or dismiss messages often see reduced frequency. This gradual adjustment helps preserve notification permission while still supporting engagement.
In competitive app markets where users often keep multiple services installed, notification permission has become a scarce resource.
Acquisition brings users into the ecosystem. Notification relevance determines whether they remain reachable.
What Growth Teams are Learning
Push notifications still play an important role, but the assumptions behind the channel have changed.
Growth teams increasingly focus on:
- Aligning notifications with real user behaviour
- Delivering messages during natural demand windows
- Limiting frequency to protect opt-in rates
- Testing early-session notification response
- Treating notification permission as a long-term asset
Push is no longer simply a campaign channel. It has become part of the retention strategy.
Push notifications once primarily served as reminders to bring users back. Increasingly, they operate as signals that shape whether the relationship continues at all.
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